I oversee the data science team that provides Customer Intelligence, Business Data Analytics and Business Intelligence to the entire organization. We combine our vast and unique data with advanced analytical methods and tools. The Data Science team makes sense of our data world through meaningful and actionable insights, identifying trends, delivering reports, informing product and infrastructure advancements, and promoting a culture of data-driven decision making.
CAREER
Data Scientists
Overview
Salary Median (2020)
$98,230
Projected Job Growth (2019-2029)
+30.9% (much faster than the average)
Career
Roadtrip Nation Leaders in This Career
What Data Scientists Do
Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.
How Leaders Describe a Typical Day at Work
You can usually find me writing code to discover insights in data. With Gayta Science, I am typically asking an interesting question related to the LGBTQ+ experience, exploring data sources that could be used to shed light on the question, and then creating visuals and a narrative to communicate findings. In the past I’ve worked on both research and development teams, and a data scientist role can vary depending on the goal of a project. It is a broad field that you can shape your own path in.
Tasks & Responsibilities May Include
- Analyze, manipulate, or process large sets of data using statistical software.
- Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
Education
Level of Education Attained by Data Scientists
No data currently available.
Stay tuned! We’ll update this section as soon as data is available.Majors Related to Career
Educational Paths Suggested by Leaders
Suggested Path
Bachelor
Computer Science
Suggested Path
High School
Bachelor
Mathematics, General
Graduate
Computer Science
Additional Skills & Experiences That Can Help You Excel
Having an understanding of computer science and math is essential in data analytics. It's also good to know how to work in a cross-departmental collaborative environment because you will be working with many different teams. It's always good to get some tech support experience.
While technical skills are important in a data scientist position, soft skills are just as crucial. Being curious and empathetic is important in asking the right questions, building an effective model or solution, or explaining your findings in a way that can be understood by people new to data.
Getting Started
Recommended First Step for:
High School Students
First of all, make sure you're in a good position to acquire your technical skills: that means you're doing well in your math, writing and/or computer science courses. Without some demonstration of the basic skill set needed, it's going to be hard to augment your education and extend your portfolio of knowledge in a meaningful and applicable way.
Go to a community college first to get your required classes out of the way and to take your fundamental classes for whatever major you choose. It gives you a chance to explore different things and save money. I also recommend auditing classes you aren't sure about to see if you like it.
College Students
Everyone
This page includes information from theO*NET 26.1 Databaseby the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under theCC BY 4.0license. O*NET® is a trademark of USDOL/ETA.